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Alcala, Spain

Perea Horno M.A.,Banco de Espana | Garrido-Lestache J.S.,Clinica Subiza
Revista de la Asociacion Espanola de Especialistas en Medicina del Trabajo | Year: 2014

Objective: To describe a clinical presentation of allergic rhinitis by mites, in which it is required to find out if it has an occupational cause. Patient and Methods: A female working in a bank with rhinitis produced by mites. The case is studied according to ergonomic, hygienic, medical and allergy criterions. Results: Final diagnosis is persistent allergic rhinitis by mites. Conclusions: concluded that the illness is not an occupational one. Source


Perez Montes C.,Banco de Espana
International Journal of Industrial Organization | Year: 2013

This article combines a discrete choice model of demand for residential local telephone access and an optimal price regulation model to estimate the welfare weights that state regulators implicitly place on consumers with different incomes and locations. I find no evidence of a bias towards rural consumers on average, but the relative weight on low income consumers in a geographic area can vary as a function of the proportions of rural and poor population and the political characteristics of the regulator. I also measure the welfare consequences of deviating from total consumer surplus maximization and disconnecting prices from costs. © 2013 Elsevier B.V. Source


Belu Manescu C.,European Commission | Nuno G.,Banco de Espana
Energy Policy | Year: 2015

The aim of this paper is to analyze the impact of the so-called "shale oil revolution" on oil prices and economic growth. We employ a general equilibrium model of the world oil market in which Saudi Arabia is the dominant firm, with the rest of the producers as a competitive fringe. Our results suggest that most of the expected increase in US oil supply due to the shale oil revolution has already been incorporated into prices and that it will produce an additional increase of 0.2% in the GDP of oil importers in the period 2010-2018. We also employ the model to analyze the collapse in oil prices in the second half of 2014 and conclude that it was mainly due to positive unanticipated supply shocks. © 2015 Elsevier Ltd. Source

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